Multicolor flow cytometric analysis of cryopreserved bovine sperm: A tool for the evaluation of bull fertility

Bücher, Kerstin; Malama, Eleni; Siuda, Mathias; Janett, F.; Bollwein, Heinrich

doi:10.3168/jds.2019-16572

Cited by 31 publications

(23 citation statements)

References 58 publications

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“…The dairy industry has realized benefits from some of these technology advancements utilized in the evaluation of fertility traits. Measurements of mitochondrial activity and acrosome reaction have been utilized to evaluate phenotypic differences in semen quality ( Graham et al, 1990 ; Bucher et al, 2019 ). These more objective evaluations of semen quality provide an opportunity to eliminate some of the issues surrounding use of more subjective data, provided that the industry is willing to share the data with breed associations for inclusion into these evaluations.…”

Section: Genetic Evaluation Of Bull Fertilitymentioning

confidence: 99%

Selection for bull fertility: a review

Butler

Bormann

Weaber

et al. 2019

Translational Animal Science

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Fertility is a critically important factor in cattle production because it directly relates to the ability to produce the offspring necessary to offset costs in production systems. Female fertility has received much attention and has been enhanced through assisted reproductive technologies, as well as genetic selection; however, improving bull fertility has been largely ignored. Improvements in bull reproductive performance are necessary to optimize the efficiency of cattle production. Selection and management to improve bull fertility not only have the potential to increase conception rates but also have the capacity to improve other economically relevant production traits. Bull fertility has reportedly been genetically correlated with traits such as average daily gain, heifer pregnancy, and calving interval. Published studies show that bull fertility traits are low to moderately heritable, indicating that improvements in bull fertility can be realized through selection. Although female fertility has continued to progress according to increasing conception rates, the reported correlation between male and female fertility is low, indicating that male fertility cannot be improved by selection for female fertility. Correlations between several bull fertility traits, such as concentration, number of spermatozoa, motility, and number of spermatozoa abnormalities, vary among studies. Using male fertility traits in selection indices would provide producers with more advanced selection tools. The objective of this review was to discuss current beef bull fertility measurements and to discuss the future of genetic evaluation of beef bull fertility and potential genetic improvement strategies.

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Section: Genetic Evaluation Of Bull Fertilitymentioning

confidence: 99%

Selection for bull fertility: a review

Butler

Bormann

Weaber

et al. 2019

Translational Animal Science

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“…Computer-assisted sperm analysis or flow cytometric assays can add additional information on the semen quality [9]. The combination of multiple semen quality parameters may enable predicting bull fertility to a certain extent [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Autosomal recessive loci contribute significantly to quantitative variation of male fertility in a dairy cattle population

Hiltpold¹,

Kadri²,

Janett

et al. 2021

BMC Genomics

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Background Cattle are ideally suited to investigate the genetics of male fertility. Semen from individual bulls is used for thousands of artificial inseminations for which the fertilization success is monitored. Results from the breeding soundness examination and repeated observations of semen quality complement the fertility evaluation for each bull. Results In a cohort of 3881 Brown Swiss bulls that had genotypes at 683,609 SNPs, we reveal four novel recessive QTL for male fertility on BTA1, 18, 25, and 26 using haplotype-based association testing. A QTL for bull fertility on BTA1 is also associated with sperm head shape anomalies. All other QTL are not associated with any of the semen quality traits investigated. We perform complementary fine-mapping approaches using publicly available transcriptomes as well as whole-genome sequencing data of 125 Brown Swiss bulls to reveal candidate causal variants. We show that missense or nonsense variants in SPATA16, VWA3A, ENSBTAG00000006717 and ENSBTAG00000019919 are in linkage disequilibrium with the QTL. Using whole-genome sequence data, we detect strong association (P = 4.83 × 10− 12) of a missense variant (p.Ile193Met) in SPATA16 with male fertility. However, non-coding variants exhibit stronger association at all QTL suggesting that variants in regulatory regions contribute to variation in bull fertility. Conclusion Our findings in a dairy cattle population provide evidence that recessive variants may contribute substantially to quantitative variation in male fertility in mammals. Detecting causal variants that underpin variation in male fertility remains difficult because the most strongly associated variants reside in poorly annotated non-coding regions.

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“…In total, 10,000 cells were analyzed for each sample at a flow rate of 200 cells/sec. Flow cytometric [88]. The flow cytometer included five channels from the violet (405 nm) laser, five channels from the blue (488 nm) laser, and three channels from the red (638 nm) laser.…”

Section: Computer-assisted Sperm Analysis (Casa)mentioning

confidence: 99%

The micro-RNA content of unsorted cryopreserved bovine sperm and its relation to the fertility of sperm after sex-sorting

et al. 2021

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Background The use of sex-sorted sperm in cattle assisted reproduction is constantly increasing. However, sperm fertility can substantially differ between unsorted (conventional) and sex-sorted semen batches of the same sire. Sperm microRNAs (miRNA) have been suggested as promising biomarkers of bull fertility the last years. In this study, we hypothesized that the miRNA profile of cryopreserved conventional sperm is related to bull fertility after artificial insemination with X-bearing sperm. For this purpose, we analyzed the miRNA profile of 18 conventional sperm samples obtained from nine high- (HF) and nine low-fertility (LF) bulls that were contemporaneously used to produce conventional and sex-sorted semen batches. The annual 56-day non-return rate for each semen type (NRRconv and NRRss, respectively) was recorded for each bull. Results In total, 85 miRNAs were detected. MiR-34b-3p and miR-100-5p were the two most highly expressed miRNAs with their relative abundance reaching 30% in total. MiR-10a-5p and miR-9-5p were differentially expressed in LF and HF samples (false discovery rate < 10%). The expression levels of miR-9-5p, miR-34c, miR-423-5p, miR-449a, miR-5193-5p, miR-1246, miR-2483-5p, miR-92a, miR-21–5p were significantly correlated to NRRss but not to NRRconv. Based on robust regression analysis, miR-34c, miR-7859 and miR-342 showed the highest contribution to the prediction of NRRss. Conclusions A set of miRNAs detected in conventionally produced semen batches were linked to the fertilizing potential of bovine sperm after sex-sorting. These miRNAs should be further evaluated as potential biomarkers of a sire’s suitability for the production of sex-sorted sperm.

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Multicolor flow cytometric analysis of cryopreserved bovine sperm: A tool for the evaluation of bull fertility

Abstract: flow cytometric analysis of cryopreserved bovine sperm: a tool for the evaluation of bull fertility. 2019,

Cited by 31 publications

References 58 publications

Selection for bull fertility: a review

Selection for bull fertility: a review

Autosomal recessive loci contribute significantly to quantitative variation of male fertility in a dairy cattle population

The micro-RNA content of unsorted cryopreserved bovine sperm and its relation to the fertility of sperm after sex-sorting

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